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According to foreign media reports, Perplexity AI is in advanced negotiations for a funding round of up to $500 million, which is expected to push the company's valuation up to $14 billion. The round is being led by renowned venture capital firm Accel, marking the rapid rise of Perplexity in the AI search sector and its aim to challenge Google and Microsoft-backed OpenAI's dominance in search. AIbase observed that this news has sparked extensive discussions within the tech community, with investors showing extremely high enthusiasm for AI's potential to reshape the search market. Valuation surged

ByteDance Research has announced the open-sourcing of ChatTS-14B, a 14-billion parameter large language model (LLM) specifically designed for understanding and reasoning with time series data. Released under the Apache2.0 license, ChatTS-14B's open-source release has garnered significant attention within the AI community, marking a substantial advancement in the intersection of time series analysis and generative AI. ChatTS-14B: An Intelligent Conversational Engine for Time Series. ChatTS-14B is based on Qwen2.5-1...

Alibaba's Tongyi announced the open-sourcing of the Wan2.1 series of models, including a powerful first and last frame video generation model. This model utilizes the advanced DiT architecture, achieving several technological breakthroughs. It significantly reduces the computational cost of generating high-definition videos while ensuring high temporal and spatial consistency. This open-sourcing provides developers and creators with powerful tools, driving the advancement of video generation technology.

DeepCoder-14B, a newly released open-source AI coding tool, demonstrates performance comparable to leading models like o1 and o3-mini, pushing the boundaries of what's possible in AI-assisted software development.

In the rapidly evolving landscape of technology, Artificial Intelligence (AI) continues to advance at an unprecedented pace. Recently, the newly open-sourced DeepCoder-14B-Preview model, a collaboration between renowned large model training platform Together AI and agent platform Agentica, has garnered significant attention. With only 14 billion parameters, this model achieved a score of 60.6% on the LiveCodeBench code testing platform, surpassing OpenAI's o1 model (59.5%) by a small margin.

Recently, the 360 ZhiNao team announced the successful replication of DeepSeek's reinforcement learning results and the official release of the open-source reasoning model Light-R1-14B-DS. This model surpasses DeepSeek-R1-Distill-Llama-70B and DeepSeek-R1-Distill-Qwen-32B in performance, becoming the industry's first 14B parameter model to achieve reinforcement learning effects. It significantly improves mathematical reasoning capabilities, outperforming most 32B-parameter models.

Court documents obtained by The New York Times reveal a closer-than-expected relationship between Google and San Francisco-based AI startup Anthropic. The filings show Google currently holds a 14% stake in Anthropic and plans to invest a further $750 million this year through a convertible debt agreement. This brings Google's total investment in Anthropic to over $3 billion. Image caption: Image generated by AI, licensed through Midjourney.

Today, ColorOS officially announced a major update: the integration of the full-blooded DeepSeek-R1 inference model. This update covers 40 OPPO/OnePlus models, including the OPPO Find N5, allowing users to experience the charm of this advanced technology firsthand.

Alibaba today announced the full open-sourcing of its video generation model, Wanxiang 2.1, releasing both a 14B and a 1.3B parameter version. The professional 14B parameter version offers top-tier performance, suitable for scenarios demanding high video quality. The 1.3B parameter version, optimized for consumer-grade GPUs, requires only 8.2GB of VRAM to generate high-quality 480P videos and is ideal for secondary model development and academic research. According to Alibaba, Wanxiang 2.1 excels in handling complex movements, accurately representing real-world physics, and enhancing the cinematic quality of generated videos.

At the intersection of women's rights and product quality, an AI-generated song titled 'Sanitary Napkin Song' has recently sparked heated discussions on social media. Xiaohongshu blogger 'Women Speak Women' presents powerful lyrics that vividly portray the awkwardness and inconveniences faced by women in daily life. This song digitally encapsulates the arduous journey women endure during their menstrual period: over the course of approximately 40 years, women use around 15,000 sanitary napkins for about 2,400 days, costing a significant amount while the quality remains concerning, as straightforwardly highlighted in the lyrics.